# spatial-optician

> spatial-optician — vero-code-spatial-optician. Use this tool when you need to optimize facility lighting for maximum ROI, and automate the auditing process to reduce energy costs and improve efficiency. The spatial-optician platform takes in facility data and lighting requirements as input, and outputs personalized recommendations for lighting upgrades and optimizations. Ideal for use in commercial and industrial settings where energy efficiency and cost savings are a priority.

Canonical page: https://skillsregistry.net/skills/vero-code-spatial-optician  
JSON: https://api.skillsregistry.net/v1/skills/vero-code-spatial-optician

## Description

AI-powered facility lighting audit and ROI optimization platform. Powered by Gemini 3.5, Google ADK, MCP & MongoDB. Supported by MongoDB for Startups.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/vero-code/spatial-optician)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vero-code-spatial-optician"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vero-code-spatial-optician` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vero-code-spatial-optician/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt